Sistemas eixo-raio de múltipla atribuição: modelos e algoritmos

Detalhes bibliográficos
Ano de defesa: 2007
Autor(a) principal: Ricardo Saraiva de Camargo
Orientador(a): Não Informado pela instituição
Banca de defesa: Não Informado pela instituição
Tipo de documento: Tese
Tipo de acesso: Acesso aberto
Idioma: por
Instituição de defesa: Universidade Federal de Minas Gerais
Programa de Pós-Graduação: Não Informado pela instituição
Departamento: Não Informado pela instituição
País: Não Informado pela instituição
Palavras-chave em Português:
Link de acesso: https://hdl.handle.net/1843/RVMR-7CTQ2W
Resumo: In telecommunication and transportation systems, the multiple allocation hub location problem arises when we must flow commodities or information between several origin-destination pairs. Instead of establishing a direct node to node connection from an origin to its destination, the flows are concentrated with others at facilities called hubs. These flows are transported on links established between hubs, being then splitted and delivered to its final destination. Systems with this sort of topology are named hub-and-spoke systems or hub-and-spoke networks. They are designed to exploit the scale economies attainable through theshared use of high capacity links between hubs. Therefore, the problem is to find the least expensive hub-and-spoke network, selecting hubs and assigning traffic to them, given the demands between each origin-destination pair and the respective transportation costs. In the present work, we study threedifferent versions of the problem: the classical, the flow dependent scale economies and the congestioned. Efficient Benders decomposition algorithms have been deployed to tackle the problems. We have been able to solve some large instances, considered out of reach' of other exact methods in reasonable time.
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spelling Sistemas eixo-raio de múltipla atribuição: modelos e algoritmosSistemas de telecomunicaçõesComputaçãoTelecomunicações Tráfegoeixo-raiootimizaçãoIn telecommunication and transportation systems, the multiple allocation hub location problem arises when we must flow commodities or information between several origin-destination pairs. Instead of establishing a direct node to node connection from an origin to its destination, the flows are concentrated with others at facilities called hubs. These flows are transported on links established between hubs, being then splitted and delivered to its final destination. Systems with this sort of topology are named hub-and-spoke systems or hub-and-spoke networks. They are designed to exploit the scale economies attainable through theshared use of high capacity links between hubs. Therefore, the problem is to find the least expensive hub-and-spoke network, selecting hubs and assigning traffic to them, given the demands between each origin-destination pair and the respective transportation costs. In the present work, we study threedifferent versions of the problem: the classical, the flow dependent scale economies and the congestioned. Efficient Benders decomposition algorithms have been deployed to tackle the problems. We have been able to solve some large instances, considered out of reach' of other exact methods in reasonable time.Universidade Federal de Minas Gerais2019-08-11T10:32:12Z2025-09-08T23:00:45Z2019-08-11T10:32:12Z2007-09-13info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/doctoralThesisapplication/pdfhttps://hdl.handle.net/1843/RVMR-7CTQ2WRicardo Saraiva de Camargoinfo:eu-repo/semantics/openAccessporreponame:Repositório Institucional da UFMGinstname:Universidade Federal de Minas Gerais (UFMG)instacron:UFMG2025-09-08T23:00:45Zoai:repositorio.ufmg.br:1843/RVMR-7CTQ2WRepositório InstitucionalPUBhttps://repositorio.ufmg.br/oairepositorio@ufmg.bropendoar:2025-09-08T23:00:45Repositório Institucional da UFMG - Universidade Federal de Minas Gerais (UFMG)false
dc.title.none.fl_str_mv Sistemas eixo-raio de múltipla atribuição: modelos e algoritmos
title Sistemas eixo-raio de múltipla atribuição: modelos e algoritmos
spellingShingle Sistemas eixo-raio de múltipla atribuição: modelos e algoritmos
Ricardo Saraiva de Camargo
Sistemas de telecomunicações
Computação
Telecomunicações Tráfego
eixo-raio
otimização
title_short Sistemas eixo-raio de múltipla atribuição: modelos e algoritmos
title_full Sistemas eixo-raio de múltipla atribuição: modelos e algoritmos
title_fullStr Sistemas eixo-raio de múltipla atribuição: modelos e algoritmos
title_full_unstemmed Sistemas eixo-raio de múltipla atribuição: modelos e algoritmos
title_sort Sistemas eixo-raio de múltipla atribuição: modelos e algoritmos
author Ricardo Saraiva de Camargo
author_facet Ricardo Saraiva de Camargo
author_role author
dc.contributor.author.fl_str_mv Ricardo Saraiva de Camargo
dc.subject.por.fl_str_mv Sistemas de telecomunicações
Computação
Telecomunicações Tráfego
eixo-raio
otimização
topic Sistemas de telecomunicações
Computação
Telecomunicações Tráfego
eixo-raio
otimização
description In telecommunication and transportation systems, the multiple allocation hub location problem arises when we must flow commodities or information between several origin-destination pairs. Instead of establishing a direct node to node connection from an origin to its destination, the flows are concentrated with others at facilities called hubs. These flows are transported on links established between hubs, being then splitted and delivered to its final destination. Systems with this sort of topology are named hub-and-spoke systems or hub-and-spoke networks. They are designed to exploit the scale economies attainable through theshared use of high capacity links between hubs. Therefore, the problem is to find the least expensive hub-and-spoke network, selecting hubs and assigning traffic to them, given the demands between each origin-destination pair and the respective transportation costs. In the present work, we study threedifferent versions of the problem: the classical, the flow dependent scale economies and the congestioned. Efficient Benders decomposition algorithms have been deployed to tackle the problems. We have been able to solve some large instances, considered out of reach' of other exact methods in reasonable time.
publishDate 2007
dc.date.none.fl_str_mv 2007-09-13
2019-08-11T10:32:12Z
2019-08-11T10:32:12Z
2025-09-08T23:00:45Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/doctoralThesis
format doctoralThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://hdl.handle.net/1843/RVMR-7CTQ2W
url https://hdl.handle.net/1843/RVMR-7CTQ2W
dc.language.iso.fl_str_mv por
language por
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Federal de Minas Gerais
publisher.none.fl_str_mv Universidade Federal de Minas Gerais
dc.source.none.fl_str_mv reponame:Repositório Institucional da UFMG
instname:Universidade Federal de Minas Gerais (UFMG)
instacron:UFMG
instname_str Universidade Federal de Minas Gerais (UFMG)
instacron_str UFMG
institution UFMG
reponame_str Repositório Institucional da UFMG
collection Repositório Institucional da UFMG
repository.name.fl_str_mv Repositório Institucional da UFMG - Universidade Federal de Minas Gerais (UFMG)
repository.mail.fl_str_mv repositorio@ufmg.br
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